News

Ron Frohock, a senior development executive with 20+ years experience, leads OspreyData in technology and software development. As First VP at JPMorgan Chase (formerly WaMu), Ron was responsible for the website and systems supporting home loans. As VP of Engineering for MindArrow Systems, Ron oversaw the design and development of

Prediction quality is not the same thing as data quality.  Last week, we suggested that the concept of “more data is always better” must be tempered with a thoughtful assessment of how that source data provides additional information from your well.  This speaks to a position of not more data,

Our Unified Monitoring solution was recently highlighted in the Oilman Magazine. Below is their article. HOUSTON – OspreyData, leader in AI-Based Production Optimization solutions for Oil & Gas, announced today that they are launching the Unified Monitor solution, a component of their Production Optimization Platform, as a stand-alone offering to

Parametric analysis is a common exercise employed by production engineers in well modeling and decision making. The figure above displays a set of gas injection performance plots (Oil production rate vs. Gas injection rate) resulting from a parametric analysis of a physics-based simulator. In an example 10-day window of observation,

Automating gas lift optimization has many benefits.  When considering machine learning approaches, there are too many wells and too few engineers to constantly monitor, analyze, update and evaluate the gas injection rate to establish optimal lift performance. A typical simulation model development followed by parametric analysis to decide a gas

The impact of Artificial Intelligence on an organization is an important topic when considering machine learning.  In a previous blog entitled, What Artificial Intelligence in Oil and Gas Brings to Production, we discussed a summary of key solutions that AI can target for problems facing most oil and gas organizations